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Frequency-Bessel Transform Based Microtremor Survey Method and Its Engineering Application.

Zhiwei You1,2,3, Peifen Xu3,4,5, Jing Qian1

  • 1Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

International Journal of Environmental Research and Public Health
|October 27, 2022
PubMed
Summary
This summary is machine-generated.

This study enhances urban geological surveys by using the frequency-Bessel transform to extract multi-mode Rayleigh wave dispersion data. This improves the accuracy of shallow surface S-wave velocity structure inversion, crucial for underground space development.

Keywords:
frequency-Bessel transformgenetic algorithminversionmicrotremor survey

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Area of Science:

  • Geophysics
  • Seismology
  • Engineering Geology

Background:

  • Urban underground space development requires detailed understanding of geological conditions.
  • Microtremor surveys are vital for urban geological assessments due to efficiency and non-invasiveness.
  • Traditional spatial autocorrelation methods for microtremor analysis yield limited, single-mode dispersion curves, leading to inversion ambiguities.

Purpose of the Study:

  • To improve the accuracy of microtremor survey inversion results for urban geological conditions.
  • To extract both fundamental and higher modes of Rayleigh wave dispersion information from microtremor data.
  • To develop a more robust method for determining shallow surface S-wave velocity structures.

Main Methods:

  • Employed the frequency-Bessel transform to extract multi-mode dispersion information from microtremor data arrays.
  • Synthesized theoretical microtremor signals to validate the effectiveness of the frequency-Bessel transform method.
  • Utilized a novel inversion objective function combined with a genetic algorithm to process multi-mode dispersion curves, addressing challenges like mode jumps and missing modes.

Main Results:

  • Successfully extracted fundamental and higher modes of Rayleigh wave dispersion using the frequency-Bessel transform.
  • The new inversion objective function effectively handled mode misidentification, outperforming traditional methods.
  • Achieved improved accuracy in calculating the shallow surface S-wave velocity structure.

Conclusions:

  • The frequency-Bessel transform is a powerful tool for obtaining comprehensive dispersion information from microtremor data.
  • The proposed multi-mode inversion method significantly enhances the accuracy and reliability of S-wave velocity structure determination.
  • The method's applicability and dependability were confirmed through a practical engineering case study, supporting its use in urban geological surveys.